QuACN

R package QuACN: QuACN: Quantitative Analysis of Complex Networks. Quantitative Analysis of Complex Networks. This package offers a set of topological network measures to analyze complex Networks structurally.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 8 articles )

Showing results 1 to 8 of 8.
Sorted by year (citations)

  1. Dehmer, Matthias; Chen, Zengqiang; Shi, Yongtang; Zhang, Yusen; Tripathi, Shailesh; Ghorbani, Modjtaba; Mowshowitz, Abbe; Emmert-Streib, Frank: On efficient network similarity measures (2019)
  2. Dehmer, Matthias; Chen, Zengqiang; Emmert-Streib, Frank; Shi, Yongtang; Tripathi, Shailesh: Graph measures with high discrimination power revisited: a random polynomial approach (2018)
  3. Dehmer, Matthias; Chen, Zengqiang; Emmert-Streib, Frank; Shi, Yongtang; Tripathi, Shailesh; Musa, Aliyu; Mowshowitz, Abbe: Properties of graph distance measures by means of discrete inequalities (2018)
  4. Dehmer, Matthias; Emmert-Streib, Frank; Grabner, Martin: A computational approach to construct a multivariate complete graph invariant (2014)
  5. Kraus, Veronika; Dehmer, Matthias; Emmert-Streib, Frank: Probabilistic inequalities for evaluating structural network measures (2014)
  6. Schutte, Michael; Dehmer, Matthias: Large-scale analysis of structural branching measures (2014)
  7. Dehmer, Matthias; Grabner, Martin; Mowshowitz, Abbe; Emmert-Streib, Frank: An efficient heuristic approach to detecting graph isomorphism based on combinations of highly discriminating invariants (2013)
  8. Netzer, Michael; Kugler, Karl G.; Müller, Laurin A. J.; Weinberger, Klaus M.; Graber, Armin; Baumgartner, Christian; Dehmer, Matthias: A network-based feature selection approach to identify metabolic signatures in disease (2012)